Predicting hypertensive patients with higher risk of developing vascular events using heart rate variability and machine learning
<p>The prognosis of cardiovascular and cerebrovascular events for patients suffering from hypertension is considered of a high importance in preventing any further development of cardiac diseases. Despite of the ability of current gold standard techniques in predicting vascular events risks, t...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
IEEE
2020
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